import sys,os
import numpy as np

resolved_path = os.path.abspath("../"+os.pardir+"/deep_learing_python/dataset/")
sys.path.append(resolved_path)
from mnist import load_mnist
from PIL import Image

def img_show(img):
    pil_img = Image.fromarray(np.uint8(img))
    pil_img.show()

(x_train, t_train), (x_test, t_test) = load_mnist(flatten=True,normalize=False)

# print(x_train.shape)
# print(t_train.shape)
# print(x_test.shape)
# print(t_test.shape)

img = x_train[0]
label = t_train[0]
print(label)

print(img.shape)
img=img.reshape(28,28)
print(img.shape)

img_show(img)